Senior Staff AI Engineer, Energy Systems

Description

POSITION DESCRIPTION:

We're looking for a highly skilled Senior Staff AI Engineer to join our Grid & Energy Analytics team at G&ES, focusing on the dynamic intersection of artificial intelligence and energy management. The ideal candidate will have a deep understanding of AI principles and their application in the energy sector, along with a strong background in software development. You'll be instrumental in developing and deploying cutting-edge AI solutions that optimize energy systems, enhance forecasting capabilities, and drive sustainability

This position will be preferably based out of Santa Clara or San Francisco office but could be a remote position.

RESPONSIBILITIES

- Machine Learning Model Development and Deployment: Design, develop, and deploy various types of forecasts, including those for energy market prices and ancillary service prices, energy demand, renewable energy resource generation forecasting like PV and Wind.

- Design and implement Agentic AI systems: Design and implement Agentic AI systems for autonomous energy management. This includes building intelligent agents that make real-time decisions to optimize energy usage and generation.

- Research and Innovation: Stay ahead of the curve by conducting creative research to identify and implement new machine learning approaches that improve model performance and platform metrics.

- Develop and deploy robust MLOPs pipelines: Identify, integrate, and manage new data sources to enhance model performance. Ensure the scalability and reliability of all data pipelines. Contribute to the design and development of our internal forecasting platform, supporting the entire machine learning development lifecycle and hosting models in production.

- Production Support: Provide ongoing support for production models, including monitoring performance, troubleshooting issues, and resolving production-related problems to ensure reliability and uptime.

- Team Collaboration: Partner closely with other teams to ensure that our machine learning and Agentic AI solutions deliver end-to-end value.

- Energy Domain Knowledge: Apply knowledge of power systems modeling to create accurate and reliable AI solutions that consider the physical constraints and dynamics of energy grids.

REQUIRED QUALIFICATIONS

- A higher degree (Master's or Ph.D.) is preferred, with a focus on machine learning, statistics, or related mathematics.

- Proficiency in Python with at least 5 years of experience in software development. You should be familiar with agile development practices and be able to write production-quality code.

- Extensive experience in developing, deploying, and maintaining machine learning models in production, particularly for time series forecasting, clustering, classification applications.

- Theoretical and practical experience with a variety of forecasting algorithms and approaches, including statistical, regression, and deep learning algorithms. You should be able to select the most appropriate model for a given application.

- Experience with cloud-hosted systems and related tooling, preferred in Azure/Fabric, including compute services, container orchestration, and various database and data warehouse platforms.

- Expertise with relevant Python Machine Learning libraries such as pandas, numpy, xgboost, lightgbm, pytorch, keras, scipy, statsmodels, transformers, nixtla, sklearn, plotly, seaborn, bokeh, and so on.

- Experience with setting up RAG (Retrieval-Augmented Generation) pipelines, fine-tuning, and deploying domain-specific models and agents.

- Intrinsic motivation and a passion for learning, collaboration, and working in the clean energy space.

- Travel may be required up to 10%, depending on business needs.

PREFERRED QUALIFICATIONS

- Experience with power systems modeling, including concepts like security-constrained economic dispatch, unit commitment, or power flow models.

- Prior domain expertise in forecasting, analysis, or trading within electricity markets, such as ERCOT, CAISO, PJM, and others.

- Familiarity with energy storage and renewable asset optimization modeling.

Hanwha Q CELLS Technologies, Inc. a subsidiary of Hanwha Q CELLS, one of the world´s largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules. It is headquartered in Seoul, South Korea (Global Executive HQ) Talheim, Germany (Technology & Innovation HQ) and Santa Clara, CA, USA (HW and SW Product Development HQ). Through its growing global business network spanning Europe, North America, Asia, South America, Africa, and the Middle East, the company provides excellent services and long-term partnerships to its customers in the utility, commercial, government, and residential markets. Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm and a Top 7 business enterprise in South Korea.

PHYSICAL, MENTAL & ENVIRONMENTAL DEMANDS:

To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements normally expected to perform regular job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation.

Mobility

Standing

20% of time

Sitting

70% of time

Walking

10% of time

Strength

Pulling

up to 10 Pounds

Pushing

up to 10 Pounds

Carrying

up to 10 Pounds

Lifting

up to 10 Pounds

Dexterity (F = Frequently, O = Occasionally, N = Never)

Typing

F

Handling

F

Reaching

F

Agility (F = Frequently, O = Occasionally, N = Never)

Turning

F

Twisting

F

Bending

O

Crouching

O

Balancing

N

Climbing

N

Crawling

N

Kneeling

N

The salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. Actual compensation is influenced by a wide array of factors including but not limited to, skill set, education, licenses and certifications, essential job duties and requirements, and the necessary experience relative to the job’s minimum qualifications.

- This target salary range is for CA positions only and should not be interpreted as an offer of compensation.

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